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Impactos potenciales de la Industria 4.0 en los trabajadores
PDF (Português (Brasil))

Palabras clave

Industria 4.0
Innovación tecnológica
Empleo
Fobia digital

Cómo citar

Junqueira, A., Lima, Y., & Souza, J. M. de . (2021). Impactos potenciales de la Industria 4.0 en los trabajadores: percepciones de brasileños y portugueses. Revista Brasileira De Economia Social E Do Trabalho, 3(00), e021010. https://doi.org/10.20396/rbest.v3i00.15638

Resumen

Desde la Revolución Industrial se han producido profundas transformaciones en las condiciones de
trabajo. En unos 200 años, se dieron saltos desde el punto de vista tecnológico, económico y social. El
siglo XXI trajo consigo descubrimientos que están provocando cambios muy significativos, con fuerte
impacto en los trabajadores. Este estudio verificó las expectativas de brasileños y portugueses sobre
los retos de las nuevas tecnologías. Los resultados muestran que la mayoría de las personas todavía
tienen poco o ningún conocimiento de las implicaciones de las innovaciones digitales, pero se muestran recelosas ante el futuro, mostrando incertidumbre sobre los beneficios e incluso una cierta “fobia digital”. Hay consenso en que se producirán muchos cambios debido a la Industria 4.0 y que será difícil encontrar buenos empleos. Además, está claro que los gobiernos, las empresas, las escuelas y los individuos tienen la gran responsabilidad de preparar a la mano de obra para afrontar los retos de la cuarta revolución industrial.

https://doi.org/10.20396/rbest.v3i00.15638
PDF (Português (Brasil))

Citas

Acemoglu, D. (2002). Technical change, inequality, and the labor market. Journal of Economic Literature, 40(1), 7–72. https://www.aeaweb.org/articles?id=10.1257/0022051026976

Acemoglu, D., & Autor, D. (2011). Skills, tasks and technologies: implications for employment and earnings. In D. Card & O. Ashenfelter (Eds.), Handbook of labor economics (Vol. 4, pp. 1043–1171). Elsevier. https://doi.org/10.1016/S0169-7218(11)02410-5

Albuquerque, P. H., Saavedra, C. A. P. B., de Morais, R. L., Alves, P. F., & Peng, Y. (2019). Na era das máquinas, o emprego é de quem? Estimação da probabilidade de automação de ocupações no Brasil [Texto para Discussão, No. 2457], Instituto de Pesquisa Econômica Aplicada. https://www.ipea.gov.br/portal/images/stories/PDFs/TDs/190329_td_2457.pdf

Amorim, J. E. B. de. (2017). A “Indústria 4.0” e a sustentabilidade do modelo de financiamento do regime geral da segurança social. Cadernos de Dereito Actual, (5), 243–254. http://www.cadernosdedereitoactual.es/ojs/index.php/cadernos/article/view/132

Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30. https://doi.org/10.1257/jep.29.3.3

Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: an empirical exploration. The Quarterly Journal of Economics, 118(4), 1279–1333. https://doi.org/10.1162/003355303322552801

Blit, J. (2020). Automation and reallocation: will COVID-19 usher in the future of work? Canadian Public Policy, 46(S2), S192–S202. https://doi.org/10.3138/cpp.2020-065

Briel, S., Osikominu, A., Pfeifer, G., Reutter, M., & Satlukal, S. (2020). Overconfidence and gender differences in wage expectations. [SSRN Scholarly Paper ID 3661437], Social Science Research Network. https://papers.ssrn.com/abstract=3661437

Chernoff, A., & Warman, C. (2020). COVID-19 and implications for automation. [NBER Working Series, No. w27249], National Bureau of Economic Research, Cambridge, MA. https://doi.org/10.3386/w27249

Confederanção Nacional da Indústria (CNI) (2016). Desafios para Indústria 4.0 no Brasil. https://www.portaldaindustria.com.br/publicacoes/2016/8/desafios-para-industria-40-no-brasil/

Dekker, F., Salomons, A., & van der Waal, J. (2017). Fear of robots at work: the role of economic self-interest. Socio-Economic Review, 15(3), 539–562. https://doi.org/10.1093/ser/mwx005

Ding, L., & Molina, J. S. (2020). “Forced automation” by COVID-19? Early trends from current population survey data. [Community Affairs Discussion Paper 88713], Federal Reserve Bank of Philadelphia. https://www.philadelphiafed.org/community-development/workforce-and-economic-development/forced-automation-by-covid-19

Dodel, M., & Mesch, G. S. (2020). Perceptions about the impact of automation in the workplace. Information, Communication & Society, 23(5), 665–680. https://doi.org/10.1080/1369118X.2020.1716043

Duarte, J. B. (Coord.) (2019). Automação e futuro do emprego em Portugal: O imperativo da requalificação. Nova School of Business and Economics; Confederação Empresarial de Portugal (CIP). https://cip.org.pt/wp-content/uploads/2019/10/Relat%C3%B3rio-FoW_NSBE-CIP.pdf

Frey, C. B., & Osborne, M. A. (2017). The future of employment: how susceptible are jobs to computerisation? Technological Forecasting and Social Change, (114), 254–280. https://doi.org/10.1016/j.techfore.2016.08.019

Hainguerlot, M., Vergnaud, J.-C., & de Gardelle, V. (2018). Metacognitive ability predicts learning cue-stimulus associations in the absence of external feedback. Scientific Reports, 8, 5602. https://doi.org/10.1038/s41598-018-23936-9

Heidhues, P., Kőszegi, B., & Strack, P. (2018). Unrealistic expectations and misguided learning. Econometrica, 86(4), 1159–1214. https://doi.org/10.3982/ECTA14084

Hobsbawm, E. (2000). Da revolução industrial inglesa ao imperialismo (5a ed.). Forense Universitária.

Ivanov, S., Kuyumdzhiev, M., & Webster, C. (2020, April 18). Automation fears: drivers and solutions. [SocArXiv Papers]. https://doi.org/10.31235/osf.io/jze3u

Lima, Y., Strauch, J., Esteves, M. G., & Souza, J. M. de (2021). Exploring the future impact of automation in Brazil. Employee Relations, 43(15), 1052–1066. https://doi.org/10.1108/ER-08-2020-0364

Lima, Y., Strauch, J., Esteves, M. G., Souza, J. M. de, Chaves, M., & Gomes, D. (2019). O futuro do emprego no Brasil: estimando o impacto da automação. Laboratório do Futuro – UFRJ. http://labfuturo.cos.ufrj.br/wp-content/uploads/2019/08/O-impacto-da-automa%C3%A7%C3%A3o-no-Brasil.pdf

Manzato, A. J., & Santos, A. B. (2012). A elaboração de questionários na pesquisa quantitativa. [Material didático], Departamento de Ciência de Computação e Estatística, IBILCE, UNESP. http://www.inf.ufsc.br/~vera.carmo/Ensino_2012_1/ELABORACAO_QUESTIONARIOS_PESQUISA_QUANTITATIVA.pdf

Marray, K., Krishna, N., & Tang, J. (2020). How do expectations affect learning about fundamentals? Some experimental evidence. [SSRN Scholarly Paper ID 3542787], Social Science Research Network. https://doi.org/10.2139/ssrn.3542787

McClure, P. K. (2018). “You’re fired”, says the robot: the rise of automation in the workplace, technophobes, and fears of unemployment. Social Science Computer Review, 36(2), 139–156. https://doi.org/10.1177/0894439317698637

McKinsey Global Institute (MGI) (2017). A future that works: Automation, employment, and productivity. Edited by J. Manyika, M. Chui, M. Miremadi, J. Bughin et al. https://www.mckinsey.com/~/media/mckinsey/featured%20insights/Digital%20Disruption/Harnessing%20automation%20for%20a%20future%20that%20works/MGI-A-future-that-works-Full-report.ashx

McKinsey Global Institute (MGI) (2020, September). What 800 executives envision for the pandemic workforce. https://www.mckinsey.com/featured-insights/future-of-work/what-800-executives-envision-for-the-postpandemic-workforce

Morais, C. (2005). Escalas de medida, estatística descritiva e inferência estatística. [ESE Working Papers], Escola Superior de Educação, Bragança, Portugal. https://bibliotecadigital.ipb.pt/handle/10198/7325

Morikawa, M. (2017). Who are afraid of losing their jobs to artificial intelligence and robots? Evidence from a survey. [GLO Discussion Paper, No. 71], Global Labour Organization, Maastricht. https://www.econstor.eu/bitstream/10419/158005/1/GLO_DP_0071.pdf

Oliveira, E. M. (2004). Transformações no mundo do trabalho, da revolução industrial aos nossos dias. Caminhos de Geografia, 5(11), 84–96. http://www.seer.ufu.br/index.php/caminhosdegeografia/article/view/15327

Wike, R., & Stokes, B. (2018, September). In advanced and emerging economies alike, worries about job automation. Pew Research Center. https://www.pewresearch.org/global/wp-content/uploads/sites/2/2018/09/Pew-Research-Center_In-Advanced-and-Emerging-Economies-Alike-Worries-about-Job-Automation_2018-09-13.pdf

World Economic Forum (WEF) (2020). Future of Jobs Report 2020. http://www3.weforum.org/docs/WEF_Future_of_Jobs_2020.pdf

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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.

Derechos de autor 2021 Alexandre Junqueira, Yuri Lima, Jano Moreira de Souza

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